ClaimsRay Kurzweil

“Exponential growth in communications technology has been even more explosive than in computation and is no less significant in its implications.”

Ray Kurzweil, essay author January 2001 The Law of Accelerating Returns (Kurzweil Library) archived copy

Factual Technology

Exponential growth in communications technology has been more explosive than in computation.

Not researched Checkable, but outside the sample that was researched.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Cite this claim

Ray Kurzweil, “Exponential growth in communications technology has been more explosive than in computation.” (said January 2001). Verdict: not researched. Reliability API, claim c_ca47a2a298fd, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_ca47a2a298fd

This claim is in dataset release v1.1.2, with the same verdict.

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More factual claims by Ray Kurzweil

  1. Mostly false Factual March 2025
    “It’s true of every type of technology.”

    Exponential growth applies to every type of technology, not just computers.

  2. Mostly true Factual October 2024
    “Neuralink, for example, is implanted in two paralyzed patients.”

    Neuralink has been implanted in two paralyzed patients who can control a computer with their brain.

  3. Mixed Factual 23 October 2000
    “Yet the “immune system” that has evolved in response to this challenge has been largely effective.”

    The 'immune system' that evolved in response to computer viruses has been largely effective.

  4. Mostly false Factual 23 October 2000
    “Although destructive, self-replicating software entities do cause damage from time to time, the injury is but a small fraction–much less than one-tenth of 1 percent–of the benefit we receive from the…”

    Damage from self-replicating software is much less than one-tenth of 1 percent of the benefit received from computers and communication links.

  5. Mostly false Factual 4 June 2026
    “That was not true a year ago. But that’s true today.”

    Large language models being roughly 50% better than human doctors at diagnosing conditions and recommending treatments was not true a year ago but is true today.

All of them

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